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Reseach Article

A Thorough Investigation on Speech Enhancement Techniques for Hearing Aids

by N. Shanmugapriya, E. Chandra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 13
Year of Publication: 2014
Authors: N. Shanmugapriya, E. Chandra

N. Shanmugapriya, E. Chandra . A Thorough Investigation on Speech Enhancement Techniques for Hearing Aids. International Journal of Computer Applications. 99, 13 ( August 2014), 9-12. DOI=10.5120/17432-7957

@article{ 10.5120/17432-7957,
author = { N. Shanmugapriya, E. Chandra },
title = { A Thorough Investigation on Speech Enhancement Techniques for Hearing Aids },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 13 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { },
doi = { 10.5120/17432-7957 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:28:43.640332+05:30
%A N. Shanmugapriya
%A E. Chandra
%T A Thorough Investigation on Speech Enhancement Techniques for Hearing Aids
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 13
%P 9-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

In recent years, speech development has become an interesting area in the field of signal processing especially in the applications of hearing aids. In hearing aid applications, the speech enhancement technique has been employed mainly for dipping the additive background noise. During the speech enhancement process, high background noise occurs due to the rapture nature of the speech. In order to overcome this problem, various methods have been employed for increasing the speech quality of hearing aid application. This paper provides an outlook of the speech enhancement techniques in a detailed manner with various speech enhancement algorithms such as Wiener filtering, beamformer, generalized singular value decomposition, transformations, and spectral subtraction technique. These methods have been designed with the main aim of reducing background noise. This paper discussed the merits and demerits of all speech enhancement algorithms with their unique characteristic features. The performance of the algorithm has been evaluated with the help of parameter metrics such as PSEQ and SNR.

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Index Terms

Computer Science
Information Sciences


Speech enhancement Hearing Aids Wiener filter Spectral subtraction technique